Make a Next.js application to search wikipedia

Project Description: Wikipedia Search Dashboard Requirements: 1. Create a web application with the following functionalities: ● Sign in with Google (Google OAuth) to authenticate users. ● Dashboard displaying the following scorecards: ○ Past 7 Day search results scorecard ○ Past 1 Day search results scorecard ○ Past 1 Hour search results scorecard ● Charts showing search results over the last 7 days with an hourly basis and date range filters. ● Search Module with the following functionalities: ● Users can query for a title/text from the Wikipedia/Wikimedia API. ● Display the search results from Wikipedia in a list. ● When the user clicks on a search result, displays the contents of the corresponding Wikipedia page. 2. Tech Stack: ● Frontend: [login to view URL] (React framework for server-side rendering and client-side routing) ● Backend: Node.js with [login to view URL] for handling API requests ● Cloud Architecture: Deploy the application on AWS Elastic Beanstalk for easy scalability ● Database: MongoDB to store user data and search history 3. Additional Considerations: ● Use Material-UI for the user interface components and styling. ● Use [login to view URL] to create interactive charts for search results. ● Implement Google OAuth using the `passport-google-oauth20` package for authentication. ● Fetch search results from the Wikipedia API using Axios or Fetch API. ● Store user data and search history in MongoDB using Mongoose. ● Implement client-side routing with [login to view URL] to enhance the user experience. ● Use date range picker libraries like `react-date-range` for filtering search results by date range. I need this project to be completed within 1 day, so I am looking for a developer who can work efficiently and meet deadlines. Ideal skills and experience for this job include: - Proficiency in [login to view URL] and React.js - Experience with API integration - Strong understanding of UI/UX design principles - Attention to detail and ability to deliver high-quality work within a short timeframe.